Research Associate in Geospatial Technology

3 days ago


Copenhagen, Copenhagen, Denmark Københavns Universitet (KU) Full time

Join us at Københavns Universitet (KU) as a postdoctoral researcher We are seeking a highly skilled and motivated individual to contribute to our project focused on the application of multi- and hyperspectral imaging for surface classification, biodiversity assessment, and estimation of photosynthesis in natural ecosystems.

We are looking for a candidate with experience in remote sensing, image analysis, and computer vision. Prior experience with operating unmanned aerial systems (UAS) is not necessary. You will be responsible for developing and applying new remote sensing techniques using data from UAS, satellite data, and field work to develop proxies for biogenic volatile organic compounds (BVOCs) emissions. You will also be expected to collaborate with the project PI on a project work package that studies method development and applied work in image/point cloud classification of plant species/diversity, and assessments of photosynthesis and BVOC emissions using hyperspectral imaging.

The successful candidate will have the opportunity to work independently and as part of a multidisciplinary team. You will be expected to have excellent communication skills in written and spoken English and prior experience with computer scripting. You should hold a PhD-degree in computer science, computer vision, geosciences, or similar topics.

The position includes field work, e.g., in Sub-Arctic Sweden and Greenland. We prioritize both the candidate's own research interests and the project aims, leaving room for personal ambitions within the frames of our research goals.



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